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07/26/2023
Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection
Predictive power and generalizability of models depend on the quality of...
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11/15/2022
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation
Hyper-parameters (HPs) are an important part of machine learning (ML) mo...
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05/23/2022
Interpretable Feature Engineering for Time Series Predictors using Attention Networks
Regression problems with time-series predictors are common in banking an...
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11/17/2021
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
Although neural networks (NNs) with ReLU activation functions have found...
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09/09/2021
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons
Principal component analysis (PCA) is a well-known linear dimension-redu...
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04/05/2020
Adaptive Explainable Neural Networks (AxNNs)
While machine learning techniques have been successfully applied in seve...
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06/05/2018
